hmltm.p: Calculates E[p(x)] from model.

In DistanceDevelopment/hsltm: Line transect estimation with hidden state availability models

Description

Calculates expected p(x) from model.

Usage

hmltm.p(pars, hfun, models = list(y = NULL, x = NULL), cov = NULL,
  survey.pars, hmm.pars, nx = 100, type = "response")

Arguments

pars	parameters (e.g. $fit$par output from fit.hmltm)
hfun	detection hazard type (character)
models	list with elements $y and $x speficying covariate model (as for est.hmltm).
cov	data frame with covariates for detections.
survey.pars	survey pars list (as for est.hmltm).
hmm.pars	hmm pars list (as for est.hmltm)
nx	number of x values for Simpson's rule integration
type	"response" (default) or "link". If "link", interprets pars as being on link scale, else natural scale

DistanceDevelopment/hsltm documentation built on June 21, 2019, 2:22 p.m.